Intelligent Impaired Driving Detection and Road Emergency Services System

Abstract

On average every day in Canada 3.5 people die, and 175 get injured due to drunken driving. In 2015, the highest impaired driving rates were reported in the Northwest Territories, Saskatchewan and Yukon. In Saskatchewan, there were 575 incidents per 100,000 of the population, which is almost twice as high as Alberta’s. Even with the preventive measures like advertising and campaigning about drunk driving and its consequences, it is not much help in reducing these accidents. Problem with the existing system is that the number of patrol officers is very less in comparison to the vehicles on the road. So it is challenging to detect an impaired driver on the road. It is required to build an intelligent car system that detects impaired driving and warns the driver. The proposed system can be installed in a moving vehicle to detect the alertness of the driver and, when necessary, this system can inform the emergency services to save the lives on the road. This research involved proposing and implementing a solution based on the iris detection mechanism to detect and notify the driver when impaired driving is detected. The implementation will not only help in saving thousands of lives lost in road mishaps but also in saving public property. The proposed approach is easy to install, inexpensive to afford and is very efficient in detection of a drowsy driver.